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Volumn 1, Issue , 2010, Pages 230-235

Transfer learning in collaborative filtering for sparsity reduction

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MATRIX ALGEBRA; SALINITY MEASUREMENT;

EID: 77958538978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (238)

References (18)
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  • 5
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    • Orthogonal nonnegative matrix tri-factorizations for clustering
    • Ding, C. H. Q.; Li, T.; Peng, W.; and Park, H. 2006. Orthogonal nonnegative matrix tri-factorizations for clustering. In KDD, 126-135.
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    • Ding, C.H.Q.1    Li, T.2    Peng, W.3    Park, H.4
  • 7
    • 67049164166 scopus 로고    scopus 로고
    • Collaborative filtering for implicit feedback datasets
    • Hu, Y; Koren, Y; and Volinsky, C. 2008. Collaborative filtering for implicit feedback datasets. In ICDM, 263-272.
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  • 8
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  • 9
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  • 10
    • 77951196813 scopus 로고    scopus 로고
    • Can movies and books collaborate? cross-domain collaborative filtering for sparsity reduction
    • Li, B.; Yang, Q.; and Xue, X. 2009a. Can movies and books collaborate? cross-domain collaborative filtering for sparsity reduction. In IJCAI, 2052-2057.
    • (2009) IJCAI , pp. 2052-2057
    • Li, B.1    Yang, Q.2    Xue, X.3
  • 11
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    • Transfer learning for collaborative filtering via a rating-matrix generative model
    • Li, B.; Yang, Q.; and Xue, X. 2009b. Transfer learning for collaborative filtering via a rating-matrix generative model. In ICML, 617-624.
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    • Li, B.1    Yang, Q.2    Xue, X.3
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    • Eigen-taste 5.0: Constant-time adaptability in a recommender system using item clustering
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  • 15
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    • Singh, A. P., and Gordon, G. J. 2008. Relational learning via collective matrix factorization. In KDD, 650-658.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.